A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Open accessPreprint — published as 10.15252/msb.20188503 · Paper page
Abstract
Genome-, transcriptome- and proteome-wide measurements provide valuable insights into how biological systems are regulated. However, even fundamental aspects relating to which human proteins exist, where they are expressed and in which quantities are not fully understood. Therefore, we have generated a systematic, quantitative and deep proteome and transcriptome abundance atlas from 29 paired healthy human tissues from the Human Protein Atlas Project and representing human genes by 17,615 transcripts and 13,664 proteins. The analysis revealed that few proteins show truly tissue-specific expression, that vast differences between mRNA and protein quantities within and across tissues exist and that the expression levels of proteins are often more stable across tissues than those of transcripts. In addition, only ~2% of all exome and ~7% of all mRNA variants could be confidently detected at the protein level showing that proteogenomics remains challenging, requires rigorous validation using synthetic peptides and needs more sophisticated computational methods. Many uses of this resource can be envisaged ranging from the study of gene/protein expression regulation to protein biomarker specificity evaluation to name a few.
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- Authors
- Wang, D., Eraslan, B., Wieland, T., Hallström, B., Hopf, T., Zolg, D. P., Zecha, J., Asplund, A., Li, L.-H., Meng, C., Frejno, M., Schmidt, T., Schnatbaum, K., Wilhelm, M., Ponten, F., Uhlen, M., Gagneur, J., Hahne, H., & Kuster, B.
- Affiliations
- Technical University of Munich (DE)
- Science for Life Laboratory (SE)
- Uppsala University (SE)
- JPT Peptide Technologies (Germany) (DE)
- Corresponding author
- Gagneur, Julien
- Hahne, Hannes
- ORCID
- Venue
- Molecular Systems Biology
- Publisher
- openRxiv
- Published
- 2018-06-27
- Volume
- 15
- Issue
- 2
- Pages
- e8503-e8503
- ISSN
- 1744-4292 (ISSN-L)
- PMC
- PMC6379049
- OpenAlex
- W2950512597
- Cited by
- 750
- References
- 1
- Citations by year
- 2026: 64 · 2025: 97 · 2024: 100 · 2023: 125 · 2022: 122 · 2021: 117 · 2020: 92 · 2019: 29 · 2018: 2
- FWCI
- 36.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- other-oa
- Locations
- Molecular Systems Biology (publishedVersion, other-oa)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- mediaTUM (Technical University of Munich) (submittedVersion, other-oa)
- mediaTUM (Technical University of Munich) (submittedVersion)
- Funders
- Knut och Alice Wallenbergs Stiftelse
- China Scholarship Council
- Akademiska Sjukhuset
- Uppsala Universitet
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- human tissue proteome, protein abundance, mRNA-protein correlation, tissue-specific gene expression, proteogenomics, amino acid variants, testis, Human Protein Atlas, biomarker specificity, gene expression regulation
- MeSH terms
- Gene Expression Regulation, Humans, RNA, Messenger, Mass Spectrometry, Tissue Distribution, Genome, Human, Sequence Analysis, RNA, Proteome, Proteomics, Transcriptome
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